CN106647650B - 基于变量加权pca模型的分散式工业过程监测方法 - Google Patents
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CN107092242B (zh) * | 2017-06-02 | 2019-05-31 | 宁波大学 | 一种基于缺失变量pca模型的工业过程监测方法 |
CN108345294B (zh) * | 2018-03-06 | 2019-08-16 | 宁波大学 | 一种基于分散式主元回归模型的故障检测方法 |
CN108508865B (zh) * | 2018-03-06 | 2019-09-06 | 宁波大学 | 一种基于分散式osc-pls回归模型的故障检测方法 |
CN108388234B (zh) * | 2018-03-19 | 2020-06-16 | 宁波大学 | 一种基于相关性划分多变量块pca模型的故障监测方法 |
CN108960309B (zh) * | 2018-06-11 | 2021-11-05 | 宁波大学 | 一种基于rbf神经网络自相关性剔除的动态过程监测方法 |
CN111694327B (zh) * | 2019-03-12 | 2022-03-18 | 宁波大学 | 一种基于混合独立成分分析算法的工业过程监测方法 |
CN113031566A (zh) * | 2021-03-09 | 2021-06-25 | 上海海事大学 | 基于在线选取主元并加权的pca模型故障检测方法 |
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CN105278520B (zh) * | 2015-06-29 | 2018-09-21 | 中国矿业大学 | 基于t-kprm复杂工业过程运行状态评价方法及应用 |
CN105955219B (zh) * | 2016-05-30 | 2018-08-17 | 宁波大学 | 基于互信息的分布式动态过程故障检测方法 |
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